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of Excel is required, and knowledge of other programming languages (Python, R) is a plus Experience working with military and/or foreign aid data Excellent English skills. No German skills required
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ETHOS.HiSim, a python package to simulate households and building systems. Identification of techno-economic data for buildings, retrofitting options, heating and cooling systems, and the building stock
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quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e.g. R, stata, Python) - Interest in economic sociology and political economy - Knowledge
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science is advantageous. Experience in high performance computing using Linux systems is desirable. You have very solid programming skills (python and / or similar). You are an effective team player with a
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science, or a comparable field. You already have experience in Linux systems (Shell/Terminal), Python (e.g., for data analysis with pandas) as well as statistical methods, and Git. Knowledge in Modbus-RTU
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and databases is advantageous Proficiency in programming with C and Python (especially in the context of open-source software projects) Basic knowledge of HTML, CSS, or similar technologies
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environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience with cloud platforms such as Amazon Web Services
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or related fields Strong interest in machine learning Basic knowledge of Python and common machine learning libraries Basic knowledge of electrochemistry and battery technology or willingness to learn What we
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
skills (Python/R/Bash) and Linux. Experience with workflows, version control (Git), and scientific computing. Problem-solving mindset and good communication skills. Fluent in English. Desired Skills HPC
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Python-based) Test and benchmark the model with trained and untrained data Compare the ML models with traditional feature extraction methods and evaluate their success rate Your profile Enrolled in a